Age-Dependent Impairment of Reendothelialization After Arterial Injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The mechanisms responsible for the association between advanced age and atherosclerotic diseases are not clear. Because atherosclerosis develops in response to local endothelial injuries, we investigated the effect of aging on vascular healing and reendothelialization. METHODS AND RESULTS: Endothelium denudation was performed by balloon angioplasty of the iliac arteries in young and old New Zealand White rabbits. Planimetric analysis after Evans Blue staining at 28 days after injury showed a significant decrease in reendothelialization in old versus young animals, which was associated with an important increase in neointimal formation in old rabbits. Vascular endothelial growth factor (VEGF) was rapidly induced after balloon injury. However, arterial VEGF expression was significantly reduced in old versus young animals. To confirm the role of VEGF in the age-dependent impairment of reendothelialization, an adenoviral vector encoding for VEGF(165) (adeno-VEGF) was locally delivered at the time of iliac artery angioplasty. Compared with animals treated with the control vector (adeno-betaGal), reendothelialization was significantly improved and neointimal formation reduced in old rabbits treated with adeno-VEGF. CONCLUSIONS: These results document for the first time an age-dependent impairment of reendothelialization after arterial injury. Our study indicates that VEGF supplementation may represent a useful strategy to accelerate reendothelialization and improve vascular healing in the context of aging.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it